Description Usage Arguments Value Examples

Note: not for use with `rlang`

expressions (guesses variable names by text inspection).
See also: https://winvector.github.io/rquery/articles/AssigmentPartitioner.html.

1 | ```
factor_mutate(..., factor_mutate_warn_msg = TRUE)
``` |

`...` |
mutate terms |

`factor_mutate_warn_msg` |
logical if TRUE issue a warning message on non-trivial mutates. |

partitioned dplyr::mutate() source text

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 | ```
cat(factor_mutate(
choice_a = rand_a >= 0.5,
a_1 = ifelse(choice_a, 'T', 'C'),
a_2 = ifelse(choice_a, 'C', 'T'),
choice_b = rand_b >= 0.5,
b_1 = ifelse(choice_b, 'T', 'C'),
b_2 = ifelse(choice_b, 'C', 'T'),
choice_c = rand_c >= 0.5,
c_1 = ifelse(choice_c, 'T', 'C'),
c_2 = ifelse(choice_c, 'C', 'T'),
choice_d = rand_d >= 0.5,
d_1 = ifelse(choice_d, 'T', 'C'),
d_2 = ifelse(choice_d, 'C', 'T'),
choice_e = rand_e >= 0.5,
e_1 = ifelse(choice_e, 'T', 'C'),
e_2 = ifelse(choice_e, 'C', 'T'),
factor_mutate_warn_msg = FALSE ))
cat(factor_mutate(
choice = rand_a >= 0.5,
a_1 = ifelse(choice, 'T', 'C'),
a_2 = ifelse(choice, 'C', 'T'),
choice = rand_b >= 0.5,
b_1 = ifelse(choice, 'T', 'C'),
b_2 = ifelse(choice, 'C', 'T'),
choice = rand_c >= 0.5,
c_1 = ifelse(choice, 'T', 'C'),
c_2 = ifelse(choice, 'C', 'T'),
choice = rand_d >= 0.5,
d_1 = ifelse(choice, 'T', 'C'),
d_2 = ifelse(choice, 'C', 'T'),
choice = rand_e >= 0.5,
e_1 = ifelse(choice, 'T', 'C'),
e_2 = ifelse(choice, 'C', 'T'),
factor_mutate_warn_msg = FALSE))
``` |

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